Characteristics of in vitro prostate cancer models grown in human serum
Bibliographic record
Abstract
Objective To compare growth, prostate serum antigen (PSA) production and integrin expression (α 2 β 1 , α v β 3 , vitronectin receptor VR) in established in vitro models of prostate cancer, when growth media is supplemented with human serum (HS) from healthy men instead of fetal calf serum (FCS), the current standard supplement. Methods The cell lines RWPE, 22Rv1, and LNCaP representing increasing degrees of invasiveness, were cultured in growth media containing 1% HS or 10% FCS. Growth, PSA levels and integrin expression were measured using trypan blue exclusion, ELISA assays, monoclonal antibodies and flow cytometry respectively. Results There were no differences in growth or PSA production by cell lines cultured in HS versus FCS. Expression of the α 2 β 1 integrin was observed to be significantly lower (p< 0.01) in 22Rv1s cultured in HS. 22Rv1 and LNCaP cell lines had lower α 2 β 1 expression compared to RWPE (p<0.05). Expression of the α v β 3 , VR was very minimal in all cell lines, although LNCaP expressed greater VR when cultured in HS compared to FCS (p = 0.03). Conclusions Cell lines representing human prostate cancer expressed differences in integrins reported to be involved in cell adhesion and angiogenesis when cultured using HS instead of FCS, despite the lack of change in growth and PSA production. This change in expression is significant in regard to standard culture methods and demonstrates that attempts to make culture methods more closely resemble human conditions must be considered. (Funding: CIHR grant; Elizabeth Donald Fellowship in Human Nutrition)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".